Intelligent automated drug administration and therapy: future of healthcare
In the twenty-first century, the collaboration of control engineering and the healthcare sector
has matured to some extent; however, the future will have promising opportunities, vast …
has matured to some extent; however, the future will have promising opportunities, vast …
Machine Learning Methods for Precision Dosing in Anticancer Drug Therapy: A Sco** Review
O Teplytska, M Ernst, LM Koltermann… - Clinical …, 2024 - Springer
Introduction In the last decade, various Machine Learning techniques have been proposed
aiming to individualise the dose of anticancer drugs mostly based on a presumed drug effect …
aiming to individualise the dose of anticancer drugs mostly based on a presumed drug effect …
Multi-objective deep reinforcement learning for personalized dose optimization based on multi-indicator experience replay
L Huo, Y Tang - Applied Sciences, 2022 - mdpi.com
Chemotherapy as an effective method is now widely used to treat various types of malignant
tumors. With advances in medicine and drug dosimetry, the precise dose adjustment of …
tumors. With advances in medicine and drug dosimetry, the precise dose adjustment of …
Deep reinforcement learning-based control of chemo-drug dose in cancer treatment
Background and objective Advancement in the treatment of cancer, as a leading cause of
death worldwide, has promoted several research activities in various related fields. The …
death worldwide, has promoted several research activities in various related fields. The …
State estimation-based control of COVID-19 epidemic before and after vaccine development
In this study, a nonlinear robust control policy is designed together with a state observer in
order to manage the novel coronavirus disease (COVID-19) outbreak having an uncertain …
order to manage the novel coronavirus disease (COVID-19) outbreak having an uncertain …
Optimal adaptive intuitionistic fuzzy logic control of anti-cancer drug delivery systems
This paper introduces a new closed loop fuzzy logic controller for regulating intravenous anti-
cancer drug delivery, based on intuitionistic fuzzy sets and invasive weed optimization (IWO) …
cancer drug delivery, based on intuitionistic fuzzy sets and invasive weed optimization (IWO) …
Neural network based adaptive backstep** dynamic surface control of drug dosage regimens in cancer treatment
F Zouari - Neurocomputing, 2019 - Elsevier
This manuscript aims at investigating the neural adaptive control of drug dosage regimens in
cancer treatment. The goal of the treatment is to get an appropriate scheme for the drug …
cancer treatment. The goal of the treatment is to get an appropriate scheme for the drug …
Nonlinear SDRE based adaptive fuzzy control approach for age-specific drug delivery in mixed chemotherapy and immunotherapy
Highlights•Using a different mathematical model and adding immunotherapy intervention to
alter dynamics of the model.•Determination of a near-optimal personalized drug delivery …
alter dynamics of the model.•Determination of a near-optimal personalized drug delivery …
[HTML][HTML] Closed loop fractional order drug delivery control scheme for chemotherapy
Chemotherapy is one of the most extensively utilized cancer treatment strategies worldwide.
It is intended to eliminate fast-develo** cancer cells in a patient's body. The amount of …
It is intended to eliminate fast-develo** cancer cells in a patient's body. The amount of …
Optimal drug-dosing of cancer dynamics with fuzzy reinforcement learning and discontinuous reward function
In this paper, a reinforcement learning-based optimal control is developed for the drug
administration of biological phenomena in chemotherapy cancer treatment. The treatment is …
administration of biological phenomena in chemotherapy cancer treatment. The treatment is …